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Method Study of Forecasting Gas Outburst Based on Rough Set

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3 Author(s)
Haining Zhang ; Comput. & Inf. Eng. Dept., Heilongjiang Inst. of Sci. & Technol., Harbin, China ; Zhenyu Zhu ; Xibin Wang

The gas outburst forecasts model is brought forward in this paper. Firstly, rough set requires discrimination data, considering distributed information of class, and continual condition attributes are discredited adopting information entropy theory. On the basis of that, redundancy attributes are eliminated using rough set reduction algorithm. Reduction attributes and rules are gained. Finally, through instances test the result indicates that forecasts model has higher exact ratio.

Published in:

Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on

Date of Conference:

13-15 Dec. 2010